An algorithm for measuring pterygium´s progress in already diagnosed eyes

Pterygium is a disease characterized by the growing of the fibrovascular tissue over the cornea, and it is relatively common in equatorial countries, like Brazil. Surgical intervention should be delayed until an optimal time, because this type of disease can manifest itself again in a more aggressive way after the surgery. Nevertheless, the monitoring of the disease is currently held inaccurately by the ophthalmologist, without the help of a specific tool. This work aims to develop a computational method to assist in monitoring the progress of pterygium based on images of eyes already diagnosed.